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TensorWave Tech Stack

AMD MI300X/MI325X GPU cloud for AI training and inference

Technology, Information and Internet Las Vegas , Nevada 51–200 employees Founded 2023 Privately Held

TensorWave operates an AMD-exclusive GPU cloud platform launched in 2023, running on MI300X, MI325X, and MI355X accelerators. The stack reveals infrastructure-heavy engineering: Kubernetes, Terraform, NixOS for orchestration; Juniper, Cisco, Arista for networking; Ceph and Weka for distributed storage. Active replacement of Proxmox signals a shift toward purpose-built AI cluster management. Hiring velocity is accelerating across engineering and ops, with projects centered on GPU workload orchestration, network automation, and recruiting infrastructure—suggesting rapid scaling into a capital-intensive market.

Tech Stack 122 technologies

Core StackGo JavaScript Rust Kubernetes Terraform Python Ansible Cisco NetSuite ServiceNow Jira Procore Primavera P6 Zig NixOS NetBox Juniper Arista Junos iOS NX-OS SONiC Dell HPE OTDR CWDM Bluebeam Revu Microsoft Project Ceph Weka+84 more
ReplacingProxmox

What TensorWave Is Building

Challenges

  • Scaling ai infrastructure
  • Eliminating infrastructure barriers
  • Scaling recruiting ahead of demand
  • Competing for top-tier talent
  • Performance reliability scalability issues
  • Scaling network automation for ai fabrics
  • Supporting large-scale ethernet fabric growth
  • Capital-intensive growth
  • Lender compliance
  • Working capital optimization

Active Projects

  • Talent network
  • Automation tooling for storage deployment
  • Operational readiness for high-density gpu compute clusters
  • Design and implement scalable recruiting processes
  • Drive data-driven decision making through recruiting analytics
  • Ml infrastructure for large-scale training and inference
  • Workload orchestration patterns across gpu environments
  • Scalable automation for ai network fabrics
  • Validation and testing workflows
  • Ci/cd pipelines for network changes

Hiring Activity

Accelerating30 roles · 20 in 30d

Department

Engineering
8
Ops
7
HR
5
Marketing
3
Finance
2
Construction
1
Executive
1
Support
1

Seniority

Senior
11
Mid
9
Lead
3
Staff
2
Director
1
Junior
1
Manager
1

Notable leadership hires: Director of Tax

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About TensorWave

TensorWave is a cloud infrastructure company providing GPU compute powered exclusively by AMD accelerators for AI workloads. The platform targets machine learning teams requiring large-scale training and inference capacity. Founded in 2023 and headquartered in Las Vegas, the company operates a 51–200-person team split across engineering, operations, HR, and commercial functions. Internal challenges include scaling infrastructure for high-density GPU clusters, automating AI network fabrics, and recruiting engineering talent to keep pace with demand growth. The business model is capital-intensive, requiring ongoing optimization of working capital and lender relationships.

HeadquartersLas Vegas , Nevada
Company Size51–200 employees
Founded2023
Hiring MarketsUnited States

Frequently Asked Questions

What GPUs does TensorWave offer?

TensorWave provides AMD MI300X, MI325X, and MI355X accelerators for AI training, fine-tuning, and inference workloads.

What is TensorWave's tech stack?

Core infrastructure: Kubernetes, Terraform, NixOS, Ansible. Storage: Ceph, Weka. Networking: Juniper, Cisco, Arista. Monitoring and ops: NetBox, Jira, ServiceNow.

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How this profile is built

TensorWave's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.